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  4. Interaction between capabilities of Model Based Systems Engineering on sensor models
 
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2021
Conference Paper
Title

Interaction between capabilities of Model Based Systems Engineering on sensor models

Abstract
In modern product development, models are often used for different purposes, e.g., system synthesis, trade-off analysis of system parameters or visualization and creation of design concepts. For some models, this purpose as well as the model itself might change over time. New interactions with the target system can occur and new details are added over time. Both have to be integrated immediately into the development procedure. When models are not maintained up to date and not used by different stakeholders, the benefits of the model-based approach are lessened due to the effort for generation and maintenance. The five development capabilities of MBSE, comprising Systems Environment Analytics (SEA), Systems Definition and Derivation (SDD), Systems Interaction Modeling (SIM), Systems Lifecycle Engineering (SLE) and the MBSE Capability and Maturation Matrix (CMM) address this topic on a capability level.In this article, the authors point out the interaction between these d evelopment capabilities on the example of a Pedestrian Emergency Braking System (PEBS) development in automotive industry, with a focus on sensor models. It will be shown exemplary how one development capability might influence another and how this interaction supports the development of complex systems.
Author(s)
Manoury, Marvin Michael
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Schmidt, Simon
Stark, Rainer
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Mainwork
ISSE 2021, 7th IEEE International Symposium on Systems Engineering. Symposium Proceedings  
Conference
International Symposium on Systems Engineering (ISSE) 2021  
DOI
10.1109/ISSE51541.2021.9582541
Language
English
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Keyword(s)
  • Analytical models

  • Visualization

  • Machine learning

  • Maintenance engineering

  • Product development

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